There are two ways that an error can be described when wrongly rejecting the null hypothesis. They are Type I and Type II errors. I saw this diagram in a book and adapted it to my understanding:
A Type 1 error occurs when the null hypothesis is rejected, when in fact it is true. A Type II error accepts the null hypothesis when, in fact, it is false. In other words, the researcher fails to reject the null hypothesis.
There are two ways that an error can be described when wrongly rejecting the null hypothesis. They are Type I and Type II errors. I saw this diagram in a book and adapted it to my understanding:
A Type 1 error occurs when the null hypothesis is rejected, when in fact it is true. A Type II error accepts the null hypothesis when, in fact, it is false. In other words, the researcher fails to reject the null hypothesis.